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On the Merging of Domain-Specific Heterogeneous Ontologies Using WordNet and Web Pattern-Based Queries

机译:使用WordNet和基于Web模式的查询合并特定于域的异构本体

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摘要

Ontologies are a basic interest in various computer science disciplines such as semantic web, information retrieval, database design, etc. They aim at providing a formal, explicit and shared conceptualisation and understanding of common domains between different communities. In addition, they allow for concepts and their constraints of a specific domain to be explicitly defined. However, the distributed nature of ontology development and the differences in viewpoints of ontology engineers have resulted in the so-called “semantic heterogeneity" between ontologies. Semantic heterogeneity constitutes the major obstacle against achieving interoperability between ontologies. To overcome this obstacle, we present a multipurpose framework which exploits the WordNet generic knowledge base for the following purposes: (i) discovering and correcting the incorrect semantic relations between the concepts of the ontology in a specific domain, this step is a primary step of ontology merging; (ii) merging domain-specific ontologies through computing semantic relations between their concepts; (iii) handling the issue of missing concepts in WordNet through the acquisition of statistical information on the Web; (iv) enriching WordNet with these missing concepts. An experimental instantiation of the framework and comparisons with state-of-the-art syntactic- and semantic-based systems validate our proposal.
机译:本体是各种计算机科学学科(例如语义网,信息检索,数据库设计等)的基本兴趣。它们的目的是提供正式,明确和共享的概念化以及对不同社区之间共同领域的理解。另外,它们允许明确定义特定领域的概念及其约束。然而,本体发展的分布式性质和本体工程师的观点差异导致了本体之间的所谓“语义异质性”,语义异质性是实现本体之间互操作性的主要障碍。利用WordNet通用知识库的多用途框架,其目的如下:(i)在特定域中发现和纠正本体概念之间的不正确语义关系,此步骤是本体合并的主要步骤;(ii)合并域特定本体论,方法是计算其概念之间的语义关系;(iii)通过获取Web上的统计信息来处理WordNet中缺少概念的问题;(iv)用这些缺少的概念丰富WordNet。基于最新的基于句法和语义的系统验证我们的建议。

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